TrainRun.jl/src/behavior.jl

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#!/usr/bin/env julia
# -*- coding: UTF-8 -*-
# __julia-version__ = 1.7.2
# __author__ = "Max Kannenberg"
# __copyright__ = "2020-2022"
# __license__ = "ISC"
## This function calculates the data points of the breakFree section.
# Therefore it gets its first data point and the characteristic section and returns the characteristic section including the behavior section for breakFree if needed.
# Info: currently the values of the breakFree section will be calculated like in the accelerating section
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function addBreakFreeSection!(CS::Dict, drivingCourse::Vector{Dict}, stateFlags::Dict, settings::Settings, train::Train, CSs::Vector{Dict})
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# conditions for the break free section
endOfCSReached = drivingCourse[end][:s] >= CS[:s_exit] || stateFlags[:endOfCSReached]
trainIsHalting = drivingCourse[end][:v] == 0.0
if trainIsHalting && !endOfCSReached
BS = BehaviorSection("breakFree", drivingCourse[end][:s], drivingCourse[end][:v], drivingCourse[end][:i])
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drivingCourse[end][:behavior] = BS[:type]
# traction effort and resisting forces (in N)
calculateForces!(drivingCourse[end], CSs, CS[:id], "accelerating", train, settings.massModel) # currently the tractive effort is calculated like in the accelerating section
# calculate the breakFree section with calculating the accelerating section and just using the first step and removing the rest
try (CS, drivingCourse, stateFlags) = addAcceleratingSection!(CS, drivingCourse, stateFlags, settings, train, CSs)
catch(acceleratingError)
println("This error happened during the break free phase that is using the accelerating function:")
rethrow(acceleratingError)
end
# delete every dataPoint except the first two
while drivingCourse[end][:i] > drivingCourse[BS[:dataPoints][1]][:i] +1
pop!(drivingCourse)
end
# change the accelerating data to break free
drivingCourse[end-1][:behavior] = BS[:type]
drivingCourse[end][:behavior] = BS[:type]
push!(BS[:dataPoints], drivingCourse[end][:i])
# remove the accelerating section from the CS
CS[:t] = CS[:t] - get(CS[:behaviorSections], :accelerating, Dict(:t=>0.0))[:t] # total running time (in s)
CS[:E] = CS[:E] - get(CS[:behaviorSections], :accelerating, Dict(:E=>0.0))[:E] # total energy consumption (in Ws)
delete!(CS[:behaviorSections], :accelerating)
# calculate the accumulated breakFree section information
merge!(BS, Dict(:length => drivingCourse[end][:s] - BS[:s_entry], # total length (in m)
:s_exit => drivingCourse[end][:s], # last position (in m)
:t => drivingCourse[end][:t] - drivingCourse[BS[:dataPoints][1]][:t], # total running time (in s)
:E => drivingCourse[end][:E] - drivingCourse[BS[:dataPoints][1]][:E], # total energy consumption (in Ws)
:v_exit => drivingCourse[end][:v])) # exit speed (in m/s)))
CS[:t] = CS[:t] + BS[:t] # total running time (in s)
CS[:E] = CS[:E] + BS[:E] # total energy consumption (in Ws)
merge!(CS[:behaviorSections], Dict(:breakFree => BS))
end # else: return the characteristic section without a breakFree section
# determine state flags
if haskey(stateFlags, :usedForDefiningCharacteristics) && stateFlags[:usedForDefiningCharacteristics]
s_braking = 0.0
else
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s_braking = calcBrakingDistance(drivingCourse[end][:v], CS[:v_exit], train.a_braking)
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end
# reset state flags
stateFlags[:endOfCSReached] = drivingCourse[end][:s] >= CS[:s_exit]
stateFlags[:brakingStartReached] = drivingCourse[end][:s] +s_braking >= CS[:s_exit]
stateFlags[:tractionDeficit] = drivingCourse[end][:F_T] < drivingCourse[end][:F_R] # or add another flag for equal forces?
stateFlags[:resistingForceNegative] = drivingCourse[end][:F_R] < 0
stateFlags[:previousSpeedLimitReached] = false
stateFlags[:speedLimitReached] = drivingCourse[end][:v] >= CS[:v_limit]
stateFlags[:error] = !(stateFlags[:endOfCSReached] || stateFlags[:brakingStartReached] || stateFlags[:tractionDeficit] || stateFlags[:previousSpeedLimitReached] || stateFlags[:speedLimitReached])
return (CS, drivingCourse, stateFlags)
end #function addBreakFreeSection!
## This function calculates the data points of the clearing section.
# Therefore it gets its previous driving course and the characteristic section and returns the characteristic section and driving course including the clearing section.
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function addClearingSection!(CS::Dict, drivingCourse::Vector{Dict}, stateFlags::Dict, settings::Settings, train::Train, CSs::Vector{Dict})
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if stateFlags[:previousSpeedLimitReached]
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currentSpeedLimit = getCurrentSpeedLimit(CSs, CS[:id], drivingCourse[end][:s], train.length)
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if haskey(stateFlags, :usedForDefiningCharacteristics) && stateFlags[:usedForDefiningCharacteristics]
ignoreBraking = true
s_braking = 0.0
else
ignoreBraking = false
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s_braking = calcBrakingDistance(drivingCourse[end][:v], CS[:v_exit], train.a_braking)
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end
s_clearing = min(CS[:s_exit]-drivingCourse[end][:s]-s_braking, currentSpeedLimit[:s_end] - drivingCourse[end][:s])
if s_clearing > 0.0
(CS, drivingCourse, stateFlags) = addCruisingSection!(CS, drivingCourse, stateFlags, s_clearing, settings, train, CSs, "clearing")
calculateForces!(drivingCourse[end], CSs, CS[:id], "accelerating", train, settings.massModel)
# stateFlags[:brakingStartReached] = brakingStartReached
# stateFlags[:endOfCSReached] = stateFlags[:endOfCSReached] || drivingCourse[end][:s] == CS[:s_exit]
else
error("ERROR: clearing <=0.0 although it has to be >0.0 in CS ",CS[:id])
end
#stateFlags[:previousSpeedLimitReached] = false
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currentSpeedLimit = getCurrentSpeedLimit(CSs, CS[:id], drivingCourse[end][:s], train.length)
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stateFlags[:previousSpeedLimitReached] = currentSpeedLimit[:v] != CS[:v_limit] && drivingCourse[end][:v] >= currentSpeedLimit[:v]
else
stateFlags[:error] = true
end
return (CS, drivingCourse, stateFlags)
end #function addClearingSection
## This function calculates the data points of the accelerating section.
# Therefore it gets its previous driving course and the characteristic section and returns the characteristic section and driving course including the accelerating section
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function addAcceleratingSection!(CS::Dict, drivingCourse::Vector{Dict}, stateFlags::Dict, settings::Settings, train::Train, CSs::Vector{Dict})
#function addAcceleratingSection!(CS::Dict, drivingCourse::Vector{Dict}, settings::Settings, train::Train, CSs::Vector{Dict}, ignoreBraking::Bool)
#=if drivingCourse would also be part of movingSectiong: function addAcceleratingSection!(movingSection::Dict, stateFlags::Dict, csId::Integer, settings::Settings, train::Train)
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CSs = movingSection[:characteristicSections]
CS = CSs[csId]
drivingCourse = movingSection[:drivingCourse]=#
calculateForces!(drivingCourse[end], CSs, CS[:id], "accelerating", train, settings.massModel)
if haskey(stateFlags, :usedForDefiningCharacteristics) && stateFlags[:usedForDefiningCharacteristics]
ignoreBraking = true
s_braking = 0.0
else
ignoreBraking = false
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s_braking = calcBrakingDistance(drivingCourse[end][:v], CS[:v_exit], train.a_braking)
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end
# conditions for the accelerating section
targetSpeedReached = drivingCourse[end][:v] >= CS[:v_peak] || stateFlags[:speedLimitReached]
endOfCSReached = drivingCourse[end][:s] >= CS[:s_exit] || stateFlags[:endOfCSReached]
tractionSurplus = drivingCourse[end][:F_T] > drivingCourse[end][:F_R]
brakingStartReached = drivingCourse[end][:s] +s_braking >= CS[:s_exit] || stateFlags[:brakingStartReached]
previousSpeedLimitReached = stateFlags[:previousSpeedLimitReached]
# use the conditions for the accelerating section
if !targetSpeedReached && !endOfCSReached && tractionSurplus && !brakingStartReached
BS = BehaviorSection("accelerating", drivingCourse[end][:s], drivingCourse[end][:v], drivingCourse[end][:i])
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drivingCourse[end][:behavior] = BS[:type]
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currentSpeedLimit = getCurrentSpeedLimit(CSs, CS[:id], drivingCourse[end][:s], train.length)
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previousSpeedLimitReached = currentSpeedLimit[:v] != CS[:v_limit] && drivingCourse[end][:v] >= currentSpeedLimit[:v]
speedLimitReached = drivingCourse[end][:v] >= CS[:v_limit]
#speedLimitReached = drivingCourse[end][:v] > currentSpeedLimit[:v]
#targetSpeedReached = speedLimitReached
while !targetSpeedReached && !endOfCSReached && tractionSurplus && !brakingStartReached && !previousSpeedLimitReached
currentStepSize = settings.stepSize # initialize the step size that can be reduced near intersections
nextPointOfInterest = getNextPointOfInterest(CS[:pointsOfInterest], drivingCourse[end][:s])
pointOfInterestReached = drivingCourse[end][:s] >= nextPointOfInterest[1]
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for cycle in 1:settings.approxLevel+1 # first cycle with normal step size followed by cycles with reduced step size depending on the level of approximation
if !ignoreBraking
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s_braking = calcBrakingDistance(drivingCourse[end][:v], CS[:v_exit], train.a_braking)
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end
while !targetSpeedReached && !speedLimitReached && !brakingStartReached && !pointOfInterestReached && tractionSurplus && !previousSpeedLimitReached
# 03/08 old: while drivingCourse[end][:v] < CS[:v_peak] && drivingCourse[end][:v] <= currentSpeedLimit[:v] && !brakingStartReached && drivingCourse[end][:s] < nextPointOfInterest[1] && drivingCourse[end][:F_T] > drivingCourse[end][:F_R] # as long as s_i + s_braking < s_CSexit
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if drivingCourse[end][:s] >= currentSpeedLimit[:s_end]
# could be asked after creating an data point. This way here prevents even a minimal exceedance of speed limit will be noticed. On the other hand the train cruises possibly a little to long
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currentSpeedLimit = getCurrentSpeedLimit(CSs, CS[:id], drivingCourse[end][:s], train.length)
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end
# acceleration (in m/s^2):
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drivingCourse[end][:a] = calcAcceleration(drivingCourse[end][:F_T], drivingCourse[end][:F_R], train.m_train_full, train.ξ_train)
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# create the next data point
push!(drivingCourse, moveAStep(drivingCourse[end], settings.stepVariable, currentStepSize, CS[:id]))
drivingCourse[end][:behavior] = BS[:type]
push!(BS[:dataPoints], drivingCourse[end][:i])
calculateForces!(drivingCourse[end], CSs, CS[:id], BS[:type], train, settings.massModel)
# conditions for the next while cycle
if !ignoreBraking
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s_braking = calcBrakingDistance(drivingCourse[end][:v], CS[:v_exit], train.a_braking)
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end
brakingStartReached = drivingCourse[end][:s] +s_braking >= CS[:s_exit]
speedLimitReached = drivingCourse[end][:v] > CS[:v_limit]
previousSpeedLimitReached = currentSpeedLimit[:v] < CS[:v_limit] && (drivingCourse[end][:v] > currentSpeedLimit[:v] || (drivingCourse[end][:v] == currentSpeedLimit[:v] && drivingCourse[end][:s] < currentSpeedLimit[:s_end]))
targetSpeedReached = drivingCourse[end][:v] >= CS[:v_peak]
#targetSpeedReached = speedLimitReached
pointOfInterestReached = drivingCourse[end][:s] >= nextPointOfInterest[1] # POIs include s_exit as well
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tractionSurplus = drivingCourse[end][:F_T] > drivingCourse[end][:F_R]
end #while
if CS[:id]==0
testFlag = true
else
testFlag = false # for testing
end
# check which limit was reached and adjust the currentStepSize for the next cycle
if cycle < settings.approxLevel+1
if drivingCourse[end][:F_T] <= drivingCourse[end][:F_R]
testFlag && println("in CS",CS[:id]," accelerating cycle",cycle," case: F_T=", drivingCourse[end][:F_T]," <= F_R=",drivingCourse[end][:F_R]) # for testing
currentStepSize = settings.stepSize / 10.0^cycle
elseif s_braking > 0.0 && drivingCourse[end][:s] + s_braking > CS[:s_exit]
testFlag && println("in CS",CS[:id]," accelerating cycle",cycle," case: s +s_braking=", drivingCourse[end][:s],",+",s_braking," = ",drivingCourse[end][:s] +s_braking," > s_exit=",CS[:s_exit]) # for testing
currentStepSize = settings.stepSize / 10.0^cycle
elseif drivingCourse[end][:s] > nextPointOfInterest[1]
testFlag && println("in CS",CS[:id]," accelerating cycle",cycle," case: s=", drivingCourse[end][:s]," > nextPOI=",nextPointOfInterest[1]) # for testing
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if settings.stepVariable == :distance
currentStepSize = nextPointOfInterest[1] - drivingCourse[end-1][:s]
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else
currentStepSize = settings.stepSize / 10.0^cycle
end
elseif drivingCourse[end][:v] > CS[:v_peak]
testFlag && println("in CS",CS[:id]," accelerating cycle",cycle," case: v=", drivingCourse[end][:v]," > v_peak=",CS[:v_peak]) # for testing
if settings.stepVariable == :speed
currentStepSize = CS[:v_peak]-drivingCourse[end-1][:v]
else
currentStepSize = settings.stepSize / 10.0^cycle
end
elseif drivingCourse[end][:v] > currentSpeedLimit[:v]
testFlag && println("in CS",CS[:id]," accelerating cycle",cycle," case: v=", drivingCourse[end][:v]," > v_limitCurrent=",currentSpeedLimit[:v]) # for testing
if settings.stepVariable == :velocity
currentStepSize = currentSpeedLimit[:v]-drivingCourse[end-1][:v]
else
currentStepSize = settings.stepSize / 10.0^cycle
end
elseif drivingCourse[end][:s] + s_braking == CS[:s_exit]
testFlag && println("in CS",CS[:id]," accelerating cycle",cycle," case: s +s_braking=", drivingCourse[end][:s],",+",s_braking," = ",drivingCourse[end][:s] +s_braking," == s_exit=",CS[:s_exit]) # for testing
if s_braking == 0.0
endOfCSReached = true
end
break
elseif drivingCourse[end][:v] == CS[:v_peak]
testFlag && println("in CS",CS[:id]," accelerating cycle",cycle," case: v=", drivingCourse[end][:v]," == v_peak=",CS[:v_peak]) # for testing
break
elseif drivingCourse[end][:v] == currentSpeedLimit[:v] && drivingCourse[end][:s] < currentSpeedLimit[:s_end]
testFlag && println("in CS",CS[:id]," accelerating cycle",cycle," case: v=", drivingCourse[end][:v]," == v_limitCurrent=",currentSpeedLimit[:v]) # for testing
break
elseif drivingCourse[end][:s] == nextPointOfInterest[1]
testFlag && println("in CS",CS[:id]," accelerating cycle",cycle," case: s=", drivingCourse[end][:s]," == nextPOI=",nextPointOfInterest[1]) # for testing
if nextPointOfInterest[1] == CS[:s_exit]
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endOfCSReached = true
end
break
else
println("v=",drivingCourse[end][:v]," v_peak= ", CS[:v_peak] , " v_cLimit=", currentSpeedLimit[:v])
println("s=" ,drivingCourse[end][:s]," s_exit=", CS[:s_exit], " s+s_braking=", drivingCourse[end][:s] +s_braking," nextPOI=",nextPointOfInterest[1])
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println("F_T=",drivingCourse[end][:F_T] ," F_R=", drivingCourse[end][:F_R])
error("ERROR at accelerating section: With the step variable ",settings.stepVariable," the while loop will be left although v<v_peak and s<s_exit in CS",CS[:id]," with s=" ,drivingCourse[end][:s]," m and v=",drivingCourse[end][:v]," m/s")
end
# delete last data point for recalculating the last step with reduced step size
pop!(drivingCourse)
pop!(BS[:dataPoints])
# conditions for the next for cycle
brakingStartReached = false
previousSpeedLimitReached = false
speedLimitReached = false
targetSpeedReached = false
endOfCSReached = false
pointOfInterestReached = false
tractionSurplus = true
else # if the level of approximation is reached
if drivingCourse[end][:v] > CS[:v_peak]
testFlag && println("in CS",CS[:id]," accelerating cycle",cycle," case: v=", drivingCourse[end][:v]," > v_peak=",CS[:v_peak]) # for testing
pop!(drivingCourse)
pop!(BS[:dataPoints])
# conditions for the next section
brakingStartReached = false
elseif drivingCourse[end][:s] + s_braking > CS[:s_exit]
testFlag && println("in CS",CS[:id]," accelerating cycle",cycle," case: s +s_braking=", drivingCourse[end][:s],",+",s_braking," = ",drivingCourse[end][:s] +s_braking," > s_exit=",CS[:s_exit]) # for testing
if s_braking > 0.0
pop!(drivingCourse)
pop!(BS[:dataPoints])
else
drivingCourse[end][:s] = CS[:s_exit] # round s down to CS[:s_exit]
drivingCourse[end][:Δs] = drivingCourse[end][:s] - drivingCourse[end-1][:s]
end
elseif drivingCourse[end][:s] > nextPointOfInterest[1]
testFlag && println("in CS",CS[:id]," accelerating cycle",cycle," case: s=", drivingCourse[end][:s]," > nextPointOfInterest[1]=",nextPointOfInterest[1]) # for testing
drivingCourse[end][:s] = nextPointOfInterest[1] # round s down to nextPointOfInterest
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drivingCourse[end][:Δs] = drivingCourse[end][:s] - drivingCourse[end-1][:s]
elseif drivingCourse[end][:F_T] <= drivingCourse[end][:F_R]
testFlag && println("in CS",CS[:id]," accelerating cycle",cycle," case: F_T=", drivingCourse[end][:F_T]," <= F_R=",drivingCourse[end][:F_R]) # for testing
elseif drivingCourse[end][:v] > currentSpeedLimit[:v]
testFlag && println("in CS",CS[:id]," accelerating cycle",cycle," case: v=", drivingCourse[end][:v]," > v_limitCurrent=",currentSpeedLimit[:v]) # for testing
previousSpeedLimitReached = true
pop!(drivingCourse)
pop!(BS[:dataPoints])
else
if drivingCourse[end][:s] + s_braking == CS[:s_exit]
testFlag && println("in CS",CS[:id]," accelerating cycle",cycle," else case and there: s +s_braking=", drivingCourse[end][:s],",+",s_braking," = ",drivingCourse[end][:s] +s_braking," > s_exit=",CS[:s_exit]) # for testing
elseif drivingCourse[end][:v] == currentSpeedLimit[:v]
testFlag && println("in CS",CS[:id]," accelerating cycle",cycle," case: v=", drivingCourse[end][:v]," == v_limitCurrent=",currentSpeedLimit[:v]) # for testing
end
end
# TODO is it possible to put this into to the if-fork?
if drivingCourse[end][:s] == CS[:s_exit]
endOfCSReached = true
end
end
end #for
if drivingCourse[end][:s] == CS[:s_exit]
endOfCSReached = true
end
end #while
if length(BS[:dataPoints]) > 1
# calculate the accumulated accelerating section information
merge!(BS, Dict(:length => drivingCourse[end][:s] - BS[:s_entry], # total length (in m)
:s_exit => drivingCourse[end][:s], # last position (in m)
:t => drivingCourse[end][:t] - drivingCourse[BS[:dataPoints][1]][:t], # total running time (in s)
:E => drivingCourse[end][:E] - drivingCourse[BS[:dataPoints][1]][:E], # total energy consumption (in Ws)
:v_exit => drivingCourse[end][:v])) # exit speed (in m/s)))
# 03/10 old: CS[:v_peak] = max(drivingCourse[end][:v], CS[:v_entry]) # setting v_peak to the last data points velocity which is the highest reachable value in this characteristic section or to v_entry in case it is higher when running on a path with high resistances
CS[:t] = CS[:t] + BS[:t] # total running time (in s)
CS[:E] = CS[:E] + BS[:E] # total energy consumption (in Ws)
mergeBehaviorSection!(CS[:behaviorSections], BS)
end
end
# set state flags
stateFlags[:endOfCSReached] = endOfCSReached
stateFlags[:brakingStartReached] = brakingStartReached
stateFlags[:tractionDeficit] = !(tractionSurplus || drivingCourse[end][:F_T] == drivingCourse[end][:F_R]) # or add another flag for equal forces?
stateFlags[:resistingForceNegative] = drivingCourse[end][:F_R] < 0
stateFlags[:previousSpeedLimitReached] = previousSpeedLimitReached
stateFlags[:speedLimitReached] = targetSpeedReached
stateFlags[:error] = !(endOfCSReached || brakingStartReached || stateFlags[:tractionDeficit] || previousSpeedLimitReached || targetSpeedReached)
return (CS, drivingCourse, stateFlags)
end #function addAcceleratingSection!
## This function calculates the data points of the cruising section.
# Therefore it gets its first data point and the characteristic section and returns the characteristic section including the behavior section for cruising if needed.
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function addCruisingSection!(CS::Dict, drivingCourse::Vector{Dict}, stateFlags::Dict, s_cruising::Real, settings::Settings, train::Train, CSs::Vector{Dict}, cruisingType::String)
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trainIsClearing = cruisingType == "clearing"
trainIsBrakingDownhill = cruisingType == "downhillBraking"
# traction effort and resisting forces (in N)
if !trainIsBrakingDownhill # TODO: or just give BS[:type] instead of "cruising"/"braking"?
calculateForces!(drivingCourse[end], CSs, CS[:id], "cruising", train, settings.massModel)
else
calculateForces!(drivingCourse[end], CSs, CS[:id], "braking", train, settings.massModel)
end
if haskey(stateFlags, :usedForDefiningCharacteristics) && stateFlags[:usedForDefiningCharacteristics]
ignoreBraking = true
s_braking = 0.0
else
ignoreBraking = false
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s_braking = calcBrakingDistance(drivingCourse[end][:v], CS[:v_exit], train.a_braking)
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end
# conditions for cruising section
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#s_braking = calcBrakingDistance(drivingCourse[end][:v], CS[:v_exit], train.a_braking)
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brakingStartReached = drivingCourse[end][:s] + s_braking >= CS[:s_exit] || stateFlags[:brakingStartReached]
speedIsValid = drivingCourse[end][:v]>0.0 && drivingCourse[end][:v]<=CS[:v_peak]
tractionDeficit = drivingCourse[end][:F_T] < drivingCourse[end][:F_R]
targetPositionReached = s_cruising == 0.0
resistingForceNegative = drivingCourse[end][:F_R] < 0
#println(" vor if speedIsValid=",speedIsValid ," brakingStartReached=", brakingStartReached," tractionDeficit=", tractionDeficit," targetPositionReached=", targetPositionReached)
if speedIsValid && !brakingStartReached && !tractionDeficit && !targetPositionReached
# 03/04 old: if drivingCourse[end][:v]>0.0 && drivingCourse[end][:v]<=CS[:v_peak] && !brakingStartReached && drivingCourse[end][:F_T] >= drivingCourse[end][:F_R]
BS = BehaviorSection(cruisingType, drivingCourse[end][:s], drivingCourse[end][:v], drivingCourse[end][:i])
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drivingCourse[end][:behavior] = BS[:type]
# TODO: necessary?
s_cruising = min(s_cruising, CS[:s_exit]-BS[:s_entry])
# traction effort and resisting forces (in N)
#03/25 calculateForces!(drivingCourse[end], CSs, CS[:id], "cruising", train, settings.massModel)
if !trainIsBrakingDownhill
calculateForces!(drivingCourse[end], CSs, CS[:id], "cruising", train, settings.massModel)
else
calculateForces!(drivingCourse[end], CSs, CS[:id], "braking", train, settings.massModel)
end
if settings.massModel == :homogeneous_strip && CS[:id] > 1
# conditions for cruising section
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trainInPreviousCS = drivingCourse[end][:s] < CS[:s_entry] + train.length
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targetPositionReached = drivingCourse[end][:s] >= BS[:s_entry] +s_cruising
resistingForceNegative = drivingCourse[end][:F_R] < 0.0
# targetSpeedReached = stateFlags[:speedLimitReached] || drivingCourse[end][:v] >= CS[:v_peak]
# TODO: change? to correctCruisingType = (trainIsClearing || (trainIsBrakingDownhill == drivingCourse[end][:F_R] < 0)) # while clearing tractive or braking force can be used
#&& targetSpeedReached
# use the conditions for the cruising section
while trainInPreviousCS && !targetPositionReached && !tractionDeficit && (trainIsClearing || (trainIsBrakingDownhill == resistingForceNegative)) # while clearing tractive or braking force can be used
currentStepSize = settings.stepSize
nextPointOfInterest[1] = getNextPointOfInterest(CS[:pointsOfInterest], drivingCourse[end][:s])
pointOfInterestReached = drivingCourse[end][:s] >= nextPointOfInterest[1]
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for cycle in 1:settings.approxLevel+1 # first cycle with normal step size followed by cycles with reduced step size depending on the level of approximation
while trainInPreviousCS && !targetPositionReached && !pointOfInterestReached && !tractionDeficit && (trainIsClearing || (trainIsBrakingDownhill == resistingForceNegative)) # while clearing tractive or braking force can be used
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# 03/09 old: while drivingCourse[end][:s] < CS[:s_entry] + train.length && drivingCourse[end][:s] < BS[:s_entry] +s_cruising && drivingCourse[end][:s] < nextPointOfInterest[1] && drivingCourse[end][:F_T]>=drivingCourse[end][:F_R]
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# the tractive effort is lower than the resisiting forces and the train has use the highest possible effort to try to stay at v_peak OR the mass model homogeneous strip is used and parts of the train are still in former CS
#TODO: maybe just consider former CS with different path resistance?
# tractive effort (in N):
#03/25 drivingCourse[end][:F_T] = min(drivingCourse[end][:F_T], max(0.0, drivingCourse[end][:F_R]))
if !trainIsBrakingDownhill
drivingCourse[end][:F_T] = min(drivingCourse[end][:F_T], max(0.0, drivingCourse[end][:F_R]))
else
drivingCourse[end][:F_T] = 0.0
end
# acceleration (in m/s^2):
drivingCourse[end][:a] = 0.0
# create the next data point
if settings.stepVariable == :distance || settings.stepVariable == time
push!(drivingCourse, moveAStep(drivingCourse[end], settings.stepVariable, currentStepSize, CS[:id]))
else
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push!(drivingCourse, moveAStep(drivingCourse[end], position, train.length/(10.0^cycle), CS[:id])) # TODO which step size should be used?
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end
drivingCourse[end][:behavior] = BS[:type]
push!(BS[:dataPoints], drivingCourse[end][:i])
# traction effort and resisting forces (in N)
calculateForces!(drivingCourse[end], CSs, CS[:id], "default", train, settings.massModel)
# calculateForces!(drivingCourse[end], CSs, CS[:id], "cruising", train, settings.massModel)
#if !trainIsBrakingDownhill
# calculateForces!(drivingCourse[end], CSs, CS[:id], "cruising", train, settings.massModel)
#else
# calculateForces!(drivingCourse[end], CSs, CS[:id], "braking", train, settings.massModel)
#end
# conditions for the next while cycle
pointOfInterestReached = drivingCourse[end][:s] >= nextPointOfInterest[1] # POIs include s_exit as well
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tractionDeficit = drivingCourse[end][:F_T] < drivingCourse[end][:F_R]
targetPositionReached = drivingCourse[end][:s] >= BS[:s_entry] +s_cruising
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trainInPreviousCS = drivingCourse[end][:s] < CS[:s_entry] + train.length
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resistingForceNegative = drivingCourse[end][:F_R] < 0.0
end #while
# check which limit was reached and adjust the currentStepSize for the next cycle
if cycle < settings.approxLevel+1
if drivingCourse[end][:F_T] < drivingCourse[end][:F_R]
currentStepSize = settings.stepSize / 10.0^cycle
elseif !trainIsBrakingDownhill && resistingForceNegative
currentStepSize = settings.stepSize / 10.0^cycle
elseif trainIsBrakingDownhill && !resistingForceNegative
currentStepSize = settings.stepSize / 10.0^cycle
elseif drivingCourse[end][:s] > nextPointOfInterest[1]
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if settings.stepVariable == :distance
currentStepSize = nextPointOfInterest[1] - drivingCourse[end-1][:s]
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else
currentStepSize = settings.stepSize / 10.0^cycle
end
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elseif drivingCourse[end][:s] > BS[:s_entry] + s_cruising # TODO also the following? drivingCourse[end][:s] > CSs[CS[:id]][:s_entry] + train.length))
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if settings.stepVariable == :distance
currentStepSize=BS[:s_entry] + s_cruising-drivingCourse[end-1][:s]
else
currentStepSize = settings.stepSize / 10.0^cycle
end
elseif drivingCourse[end][:s] == BS[:s_entry] + s_cruising # || drivingCourse[end][:s]==CS[:s_exit]
break
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elseif drivingCourse[end][:s] >= CS[:s_entry] + train.length
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break
elseif drivingCourse[end][:s] == nextPointOfInterest[1]
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break
elseif !trainInPreviousCS
break
else
error("ERROR at cruising section: With the step variable ",settings.stepVariable," the while loop will be left although the if cases don't apply in CS",CS[:id]," with s=" ,drivingCourse[end][:s]," m and v=",drivingCourse[end][:v]," m/s")
end
# delete last data point for recalculating the last step with reduced step size
pop!(drivingCourse)
pop!(BS[:dataPoints])
# conditions for the next for cycle
pointOfInterestReached = false
tractionDeficit = false
targetPositionReached = false
trainInPreviousCS = true
resistingForceNegative = drivingCourse[end][:F_R] < 0.0
else # if the level of approximation is reached
if drivingCourse[end][:s] > nextPointOfInterest[1]
drivingCourse[end][:s] = nextPointOfInterest[1] # round s down to nextPointOfInterest
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drivingCourse[end][:Δs] = drivingCourse[end][:s] - drivingCourse[end-1][:s]
elseif drivingCourse[end][:s] > BS[:s_entry]+s_cruising
if BS[:type] != "clearing"
pop!(drivingCourse)
pop!(BS[:dataPoints])
end
elseif drivingCourse[end][:s] == BS[:s_entry]+s_cruising
break
elseif drivingCourse[end][:F_T] < drivingCourse[end][:F_R]
break
elseif !trainIsBrakingDownhill && resistingForceNegative
break
elseif trainIsBrakingDownhill && !resistingForceNegative
break
elseif !trainInPreviousCS
break
else
end
end
end #for
end #while
end #if
# conditions for the next while cycle
targetPositionReached = drivingCourse[end][:s] >= BS[:s_entry] +s_cruising
tractionDeficit = drivingCourse[end][:F_T] < drivingCourse[end][:F_R]
resistingForceNegative = drivingCourse[end][:F_R] < 0.0
while !targetPositionReached && !tractionDeficit && (trainIsClearing || (trainIsBrakingDownhill == resistingForceNegative)) # while clearing tractive or braking force can be used
# 03/09 old: while drivingCourse[end][:s] < BS[:s_entry]+s_cruising && drivingCourse[end][:F_T] >= drivingCourse[end][:F_R]
nextPointOfInterest = min(BS[:s_entry]+s_cruising, getNextPointOfInterest(CS[:pointsOfInterest], drivingCourse[end][:s])[1])
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# tractive effort (in N):
#03/25 drivingCourse[end][:F_T] = min(drivingCourse[end][:F_T], max(0.0, drivingCourse[end][:F_R]))
if !trainIsBrakingDownhill
drivingCourse[end][:F_T] = min(drivingCourse[end][:F_T], max(0.0, drivingCourse[end][:F_R]))
else
drivingCourse[end][:F_T] = 0.0
end
drivingCourse[end][:a] = 0.0 # acceleration (in m/s^2)
# calculate the remaining cruising way
#s_cruisingRemaining=BS[:s_entry] + s_cruising-drivingCourse[end][:s]
s_cruisingRemaining = min(nextPointOfInterest[1] -drivingCourse[end][:s], BS[:s_entry] +s_cruising -drivingCourse[end][:s])
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# create the next data point
push!(drivingCourse, moveAStep(drivingCourse[end], :distance, s_cruisingRemaining, CS[:id]))
drivingCourse[end][:behavior] = BS[:type]
push!(BS[:dataPoints], drivingCourse[end][:i])
calculateForces!(drivingCourse[end], CSs, CS[:id], "default", train, settings.massModel)
# calculateForces!(drivingCourse[end], CSs, CS[:id], "cruising", train, settings.massModel)
#if !trainIsBrakingDownhill
# calculateForces!(drivingCourse[end], CSs, CS[:id], "cruising", train, settings.massModel)
#else
# calculateForces!(drivingCourse[end], CSs, CS[:id], "braking", train, settings.massModel)
#end
# conditions for the next while cycle
targetPositionReached = drivingCourse[end][:s] >= BS[:s_entry] +s_cruising
tractionDeficit = drivingCourse[end][:F_T] < drivingCourse[end][:F_R]
resistingForceNegative = drivingCourse[end][:F_R] < 0
end #while
# TODO: realize this better inside the upper loops?
# calculate the accumulated cruising section information
merge!(BS, Dict(:length => drivingCourse[end][:s] - BS[:s_entry], # total length (in m)
:s_exit => drivingCourse[end][:s], # last position (in m)
:t => drivingCourse[end][:t] - drivingCourse[BS[:dataPoints][1]][:t], # total running time (in s)
:E => drivingCourse[end][:E] - drivingCourse[BS[:dataPoints][1]][:E], # total energy consumption (in Ws)
:v_exit => drivingCourse[end][:v])) # exit speed (in m/s)))
CS[:t] = CS[:t] + BS[:t] # total running time (in s)
CS[:E] = CS[:E] + BS[:E] # total energy consumption (in Ws)
mergeBehaviorSection!(CS[:behaviorSections], BS)
end # else: return the characteristic section without a cruising section
# set state flags
stateFlags[:endOfCSReached] = drivingCourse[end][:s] == CS[:s_exit]
if !ignoreBraking
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s_braking = calcBrakingDistance(drivingCourse[end][:v], CS[:v_exit], train.a_braking)
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end
stateFlags[:brakingStartReached] = brakingStartReached || drivingCourse[end][:s] + s_braking >= CS[:s_exit]
stateFlags[:tractionDeficit] = tractionDeficit
stateFlags[:resistingForceNegative] = drivingCourse[end][:F_R] < 0.0
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currentSpeedLimit = getCurrentSpeedLimit(CSs, CS[:id], drivingCourse[end][:s], train.length)
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stateFlags[:previousSpeedLimitReached] = currentSpeedLimit[:v] != CS[:v_limit] && drivingCourse[end][:v] >= currentSpeedLimit[:v]
stateFlags[:error] = !(targetPositionReached || tractionDeficit || !(cruisingType == "clearing" || ((cruisingType == "downhillBraking") == resistingForceNegative)))
return (CS, drivingCourse, stateFlags)
end #function addCruisingSection!
## This function calculates the data points for diminishing run when using maximum tractive effort and still getting slower
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function addDiminishingSection!(CS::Dict, drivingCourse::Vector{Dict}, stateFlags::Dict, settings::Settings, train::Train, CSs::Vector{Dict})
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calculateForces!(drivingCourse[end], CSs, CS[:id], "diminishing", train, settings.massModel)
if haskey(stateFlags, :usedForDefiningCharacteristics) && stateFlags[:usedForDefiningCharacteristics]
ignoreBraking = true
s_braking = 0.0
else
ignoreBraking = false
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s_braking = calcBrakingDistance(drivingCourse[end][:v], CS[:v_exit], train.a_braking)
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end
# conditions for diminishing section
targetSpeedReached = drivingCourse[end][:v] <= 0.0
endOfCSReached = drivingCourse[end][:s] >= CS[:s_exit] || stateFlags[:endOfCSReached]
tractionDeficit = drivingCourse[end][:F_T] < drivingCourse[end][:F_R] #|| stateFlags[:tractionDeficit]
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#s_braking = calcBrakingDistance(drivingCourse[end][:v], CS[:v_exit], train.a_braking)
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brakingStartReached = drivingCourse[end][:s] + s_braking >= CS[:s_exit] || stateFlags[:brakingStartReached]
# use the conditions for the diminishing section
if tractionDeficit && !targetSpeedReached && !endOfCSReached
BS = BehaviorSection("diminishing", drivingCourse[end][:s], drivingCourse[end][:v], drivingCourse[end][:i])
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drivingCourse[end][:behavior] = BS[:type]
while tractionDeficit && !targetSpeedReached && !endOfCSReached && !brakingStartReached
currentStepSize=settings.stepSize # initialize the step size that can be reduced near intersections
nextPointOfInterest = getNextPointOfInterest(CS[:pointsOfInterest], drivingCourse[end][:s])[1]
pointOfInterestReached = drivingCourse[end][:s] >= nextPointOfInterest[1]
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for cycle in 1:settings.approxLevel+1 # first cycle with normal step size followed by cycles with reduced step size depending on the level of approximation
while tractionDeficit && !brakingStartReached && !pointOfInterestReached && !targetSpeedReached
# 03/09 old: while drivingCourse[end][:F_T] < drivingCourse[end][:F_R] && !brakingStartReached && drivingCourse[end][:s] < nextPointOfInterest[1] && drivingCourse[end][:v]>0.0 # as long as s_i + s_braking < s_end
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# acceleration (in m/s^2):
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drivingCourse[end][:a] = calcAcceleration(drivingCourse[end][:F_T], drivingCourse[end][:F_R], train.m_train_full, train.ξ_train)
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# create the next data point
push!(drivingCourse, moveAStep(drivingCourse[end], settings.stepVariable, currentStepSize, CS[:id]))
drivingCourse[end][:behavior] = BS[:type]
push!(BS[:dataPoints], drivingCourse[end][:i])
calculateForces!(drivingCourse[end], CSs, CS[:id], BS[:type], train, settings.massModel)
# conditions for the next while cycle
if !ignoreBraking
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s_braking = calcBrakingDistance(drivingCourse[end][:v], CS[:v_exit], train.a_braking)
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end
brakingStartReached = drivingCourse[end][:s] +s_braking >= CS[:s_exit]
pointOfInterestReached = drivingCourse[end][:s] >= nextPointOfInterest[1]
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targetSpeedReached = drivingCourse[end][:v] <= 0.0
tractionDeficit = drivingCourse[end][:F_T] < drivingCourse[end][:F_R]
endOfCSReached = drivingCourse[end][:s] == CS[:s_exit]
end #while
if CS[:id]==0
testFlag = true
else
testFlag = false # for testing
end
# check which limit was reached and adjust the currentStepSize for the next cycle
if cycle < settings.approxLevel+1
if drivingCourse[end][:v] < 0.0
if settings.stepVariable == velocity
currentStepSize = drivingCourse[end-1][:v]
else
currentStepSize = settings.stepSize / 10.0^cycle
end
elseif drivingCourse[end][:F_T] > drivingCourse[end][:F_R]
testFlag && println("in CS",CS[:id]," diminishing cycle",cycle," case: F_T=", drivingCourse[end][:F_T]," > F_R=",drivingCourse[end][:F_R]) # for testing
currentStepSize = settings.stepSize / 10.0^cycle
elseif s_braking > 0.0 && drivingCourse[end][:s] + s_braking > CS[:s_exit]
testFlag && println("in CS",CS[:id]," diminishing cycle",cycle," case: s +s_braking=", drivingCourse[end][:s],"+",s_braking," = ",drivingCourse[end][:s] +s_braking," > s_exit=",CS[:s_exit]) # for testing
currentStepSize = settings.stepSize / 10.0^cycle
elseif drivingCourse[end][:s] > nextPointOfInterest[1]
testFlag && println("in CS",CS[:id]," diminishing cycle",cycle," case: s=", drivingCourse[end][:s]," > nextPOI=",nextPointOfInterest[1]) # for testing
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if settings.stepVariable == :distance
currentStepSize = nextPointOfInterest[1] - drivingCourse[end-1][:s]
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else
currentStepSize = settings.stepSize / 10.0^cycle
end
elseif drivingCourse[end][:s] + s_braking == CS[:s_exit]
testFlag && println("in CS",CS[:id]," diminishing cycle",cycle," case: s +s_braking=", drivingCourse[end][:s],"+",s_braking," = ",drivingCourse[end][:s] +s_braking," == s_exit=",CS[:s_exit]) # for testing
break
elseif drivingCourse[end][:s] == nextPointOfInterest[1]
testFlag && println("in CS",CS[:id]," diminishing cycle",cycle," case: s=", drivingCourse[end][:s]," == nextPOI=",nextPointOfInterest[1]) # for testing
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break
elseif drivingCourse[end][:F_T] == drivingCourse[end][:F_R]
testFlag && println("in CS",CS[:id]," diminishing cycle",cycle," case: F_T=", drivingCourse[end][:F_T]," == F_R=",drivingCourse[end][:F_R]) # for testing
break
elseif drivingCourse[end][:v] == 0.0
error("ERROR: The train stops during diminishing run in CS",CS[:id]," at position s=",drivingCourse[end][:s]," m because the maximum tractive effort is lower than the resistant forces.",
" Before the stop the last point has the values s=",drivingCourse[end-1][:s]," m v=",drivingCourse[end-1][:v]," m/s a=",drivingCourse[end-1][:a]," m/s^2",
" F_T=",drivingCourse[end-1][:F_T]," N R_traction=",drivingCourse[end-1][:R_traction]," N R_wagons=",drivingCourse[end-1][:R_wagons]," N R_path=",drivingCourse[end-1][:R_path]," N.")
else
error("ERROR during diminishing run: With the step variable ",settings.stepVariable," the while loop will be left although s+s_braking<s_exit && v>0.0 in CS",CS[:id]," with s=" ,drivingCourse[end][:s]," m and v=",drivingCourse[end][:v]," m/s")
end
# delete last data point for recalculating the last step with reduced step size
pop!(drivingCourse)
pop!(BS[:dataPoints])
# conditions for the next for cycle
brakingStartReached = false
pointOfInterestReached = false
targetSpeedReached = false
tractionDeficit = true
endOfCSReached = false
else # if the level of approximation is reached
if drivingCourse[end][:v] <= 0.0
testFlag && println("in CS",CS[:id]," diminishing cycle",cycle," case: v=", drivingCourse[end][:v]," <= 0.0") # for testing
# push!(BS[:dataPoints], drivingCourse[end][:i])
error("ERROR: The train stops during diminishing run in CS",CS[:id]," because the maximum tractive effort is lower than the resistant forces.",
" Before the stop the last point has the values s=",drivingCourse[end-1][:s]," m v=",drivingCourse[end-1][:v]," m/s a=",drivingCourse[end-1][:a]," m/s^2",
" F_T=",drivingCourse[end-1][:F_T]," N R_traction=",drivingCourse[end-1][:R_traction]," N R_wagons=",drivingCourse[end-1][:R_wagons]," N R_path=",drivingCourse[end-1][:R_path]," N.")
elseif s_braking > 0.0 && drivingCourse[end][:s] + s_braking > CS[:s_exit]
testFlag && println("in CS",CS[:id]," diminishing cycle",cycle," case: s +s_braking=", drivingCourse[end][:s],"+",s_braking," = ",drivingCourse[end][:s] +s_braking," > s_exit=",CS[:s_exit]) # for testing
pop!(drivingCourse)
pop!(BS[:dataPoints])
pointOfInterestReached = false
targetSpeedReached = false
tractionDeficit = true
endOfCSReached = false
elseif drivingCourse[end][:s] > nextPointOfInterest[1]
testFlag && println("in CS",CS[:id]," diminishing cycle",cycle," case: s=", drivingCourse[end][:s]," > nextPointOfInterest[1]=",nextPointOfInterest[1]) # for testing
drivingCourse[end][:s] = nextPointOfInterest[1] # round s down to nextPointOfInterest
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drivingCourse[end][:Δs] = drivingCourse[end][:s] - drivingCourse[end-1][:s]
elseif drivingCourse[end][:F_T] >= drivingCourse[end][:F_R]
testFlag && println("in CS",CS[:id]," diminishing cycle",cycle," case: F_T=", drivingCourse[end][:F_T]," >= F_R=", drivingCourse[end][:F_R]) # for testing
break
else
testFlag && println("in CS",CS[:id]," diminishing cycle",cycle," case: else with v=", drivingCourse[end][:v]," > 0.0 and F_T=", drivingCourse[end][:F_T]," <= F_R=", drivingCourse[end][:F_R]) # for testing
#println(" and s +s_braking=", drivingCourse[end][:s],"+",s_braking," = ",drivingCourse[end][:s] +s_braking," <= s_exit=",CS[:s_exit]) # for testing
#println(" and s=", drivingCourse[end][:s]," <= nextPointOfInterest[1]=",nextPointOfInterest[1]) # for testing
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# if drivingCourse[end][:s] + s_braking == CS[:s_exit]
# brakingStartReached = true
# end
end #if
# # TODO is it possible to put this into to the if-fork?
# if drivingCourse[end][:s] == CS[:s_exit]
# endOfCSReached = true
# end
end #if
end #for
end #while
if length(BS[:dataPoints]) > 1 # TODO: necessary? May it be possible that there is no diminishing because braking has to start?
# calculate the accumulated diminishing section information
merge!(BS, Dict(:length => drivingCourse[end][:s] - BS[:s_entry], # total length (in m)
:s_exit => drivingCourse[end][:s], # last position (in m)
:t => drivingCourse[end][:t] - drivingCourse[BS[:dataPoints][1]][:t], # total running time (in s)
:E => drivingCourse[end][:E] - drivingCourse[BS[:dataPoints][1]][:E], # total energy consumption (in Ws)
:v_exit => drivingCourse[end][:v])) # exit speed (in m/s)))
CS[:t] = CS[:t] + BS[:t] # total running time (in s)
CS[:E] = CS[:E] + BS[:E] # total energy consumption (in Ws)
mergeBehaviorSection!(CS[:behaviorSections], BS)
end
end
# set state flags
stateFlags[:endOfCSReached] = endOfCSReached
stateFlags[:brakingStartReached] = brakingStartReached
stateFlags[:tractionDeficit] = tractionDeficit
stateFlags[:resistingForceNegative] = drivingCourse[end][:F_R] < 0
stateFlags[:speedLimitReached] = drivingCourse[end][:v] >= CS[:v_peak]
stateFlags[:error] = !(endOfCSReached || brakingStartReached || !tractionDeficit)
return (CS, drivingCourse, stateFlags)
end #function addDiminishingSection!
## This function calculates the data points of the coasting section.
# Therefore it gets its previous driving course and the characteristic section and returns the characteristic section and driving course including the coasting section
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function addCoastingSection!(CS::Dict, drivingCourse::Vector{Dict}, stateFlags::Dict, settings::Settings, train::Train, CSs::Vector{Dict})
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# TODO: if the rear of the train is still located in a former characteristic section it has to be checked if its speed limit can be kept
# with getCurrentSpeedLimit
# conditions for coasting section
targetSpeedReached = drivingCourse[end][:v] <= CS[:v_exit]
endOfCSReached = drivingCourse[end][:s] >= CS[:s_exit] || stateFlags[:endOfCSReached]
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s_braking = calcBrakingDistance(drivingCourse[end][:v], CS[:v_exit], train.a_braking)
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brakingStartReached = drivingCourse[end][:s] + s_braking >= CS[:s_exit] || stateFlags[:brakingStartReached]
# use the conditions for the coasting section
if !targetSpeedReached && !endOfCSReached
BS = BehaviorSection("coasting", drivingCourse[end][:s], drivingCourse[end][:v], drivingCourse[end][:i])
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drivingCourse[end][:behavior] = BS[:type]
while !targetSpeedReached && !endOfCSReached && !brakingStartReached
currentStepSize=settings.stepSize # initialize the step size that can be reduced near intersections
nextPointOfInterest[1] = getNextPointOfInterest(CS[:pointsOfInterest], drivingCourse[end][:s])
pointOfInterestReached = drivingCourse[end][:s] >= nextPointOfInterest[1]
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for cycle in 1:settings.approxLevel+1 # first cycle with normal step size followed by cycles with reduced step size depending on the level of approximation
while !targetSpeedReached && !brakingStartReached && !pointOfInterestReached
# 03/09 old : while drivingCourse[end][:v] > CS[:v_exit] && drivingCourse[end][:v] <= CS[:v_peak] && !brakingStartReached && drivingCourse[end][:s] < nextPointOfInterest[1]
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# traction effort and resisting forces (in N):
calculateForces!(drivingCourse[end], CSs, CS[:id], BS[:type], train, settings.massModel)
# acceleration (in m/s^2):
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drivingCourse[end][:a] = calcAcceleration(drivingCourse[end][:F_T], drivingCourse[end][:F_R], train.m_train_full, train.ξ_train)
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# create the next data point
push!(drivingCourse, moveAStep(drivingCourse[end], settings.stepVariable, currentStepSize, CS[:id]))
drivingCourse[end][:behavior] = BS[:type]
push!(BS[:dataPoints], drivingCourse[end][:i])
# conditions for the next while cycle
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s_braking = calcBrakingDistance(drivingCourse[end][:v], CS[:v_exit], train.a_braking)
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brakingStartReached = drivingCourse[end][:s] + s_braking >= CS[:s_exit]
pointOfInterestReached = drivingCourse[end][:s] >= nextPointOfInterest[1]
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targetSpeedReached = drivingCourse[end][:v] <= CS[:v_exit] || drivingCourse[end][:v] > CS[:v_peak]
end # while
testFlag = false
# check which limit was reached and adjust the currentStepSize for the next cycle
if cycle < settings.approxLevel+1
if drivingCourse[end][:s] + s_braking > CS[:s_exit]
testFlag && println("in CS",CS[:id]," coasting cycle",cycle," case: s +s_braking=", drivingCourse[end][:s],"+",s_braking," = ",drivingCourse[end][:s] +s_braking," > s_exit=",CS[:s_exit]) # for testing
currentStepSize = settings.stepSize / 10.0^cycle
elseif drivingCourse[end][:s] > nextPointOfInterest[1]
testFlag && println("in CS",CS[:id]," coasting cycle",cycle," case: s=", drivingCourse[end][:s]," > nextPointOfInterest[1]=",nextPointOfInterest[1]) # for testing
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if settings.stepVariable == :distance
currentStepSize = nextPointOfInterest[1] - drivingCourse[end-1][:s]
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else
currentStepSize = settings.stepSize / 10.0^cycle
end
elseif drivingCourse[end][:v] < CS[:v_exit] # TODO: if accelereation and coasting functions will be combined this case is only for coasting
testFlag && println("in CS",CS[:id]," coasting cycle",cycle," case: v=", drivingCourse[end][:v]," < v_exit=", CS[:v_exit]) # for testing
if settings.stepVariable == velocity
currentStepSize = drivingCourse[end-1][:v] - CS[:v_exit]
else
currentStepSize = settings.stepSize / 10.0^cycle
end
elseif drivingCourse[end][:v] > CS[:v_peak]
testFlag && println("in CS",CS[:id]," coasting cycle",cycle," case: v=", drivingCourse[end][:v]," > v_peak=", CS[:v_peak]) # for testing
if settings.stepVariable == velocity
currentStepSize = CS[:v_peak] - drivingCourse[end-1][:v]
else
currentStepSize = settings.stepSize / 10.0^cycle
end
elseif drivingCourse[end][:s] + s_braking == CS[:s_exit]
testFlag && println("in CS",CS[:id]," coasting cycle",cycle," case: s +s_braking=", drivingCourse[end][:s],"+",s_braking," = ",drivingCourse[end][:s] +s_braking," == s_exit=",CS[:s_exit]) # for testing
break
elseif drivingCourse[end][:v] == CS[:v_exit]
testFlag && println("in CS",CS[:id]," coasting cycle",cycle," case: v=", drivingCourse[end][:v]," == v_exit=", CS[:v_exit]) # for testing
break
elseif drivingCourse[end][:s] == nextPointOfInterest[1]
testFlag && println("in CS",CS[:id]," coasting cycle",cycle," case: s =", drivingCourse[end][:s]," > nextPointOfInterest[1]=",nextPointOfInterest[1]) # for testing
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break
else
# TODO: not needed. just for testing
error("ERROR at coasting until braking section: With the step variable ",settings.stepVariable," the while loop will be left although v<v_peak and s+s_braking<s_exit in CS",CS[:id]," with s=" ,drivingCourse[end][:s]," m and v=",drivingCourse[end][:v]," m/s")
end
# delete last data point for recalculating the last step with reduced step size
pop!(drivingCourse)
pop!(BS[:dataPoints])
# conditions for the next for cycle
brakingStartReached = false
pointOfInterestReached = false
targetSpeedReached = false
else # if the level of approximation is reached
if drivingCourse[end][:v] <= 0.0
println("INFO: The train stops during the coasting section in CS",CS[:id]," ",
" Before the stop the last point has the values s=",drivingCourse[end-1][:s]," m v=",drivingCourse[end-1][:v]," m/s a=",drivingCourse[end-1][:a]," m/s^2",
" F_T=",drivingCourse[end-1][:F_T]," N R_traction=",drivingCourse[end-1][:R_traction]," N R_wagons=",drivingCourse[end-1][:R_wagons]," N R_path=",drivingCourse[end-1][:R_path]," N and s_braking=",s_braking,"m.")
elseif drivingCourse[end][:s] + s_braking > CS[:s_exit]
# delete last data point because it went to far
pop!(drivingCourse)
pop!(BS[:dataPoints])
# conditions for the next for cycle
# brakingStartReached = true
pointOfInterestReached = false
targetSpeedReached = false
elseif drivingCourse[end][:v] > CS[:v_peak] # if the train gets to fast it has to brake # TODO: if accelereation and coasting functions will be combined this case is different for coasting and also the order of if cases is different
# delete last data point because it went to far
pop!(drivingCourse)
pop!(BS[:dataPoints])
# conditions for the next for cycle
brakingStartReached = false
pointOfInterestReached = false
# targetSpeedReached = true
elseif drivingCourse[end][:s] > nextPointOfInterest[1]
drivingCourse[end][:s] = nextPointOfInterest[1] # round s down to nextPointOfInterest
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drivingCourse[end][:Δs] = drivingCourse[end][:s] - drivingCourse[end-1][:s]
else
# do nothing for example for drivingCourse[end][:s] + s_braking == CS[:s_exit]
end
end
end #for
end #while
stateFlags[:speedLimitReached] = false
# calculate the accumulated coasting section information
merge!(BS, Dict(:length => drivingCourse[end][:s] - BS[:s_entry], # total length (in m)
:s_exit => drivingCourse[end][:s], # last position (in m)
:t => drivingCourse[end][:t] - drivingCourse[BS[:dataPoints][1]][:t], # total running time (in s)
:E => drivingCourse[end][:E] - drivingCourse[BS[:dataPoints][1]][:E], # total energy consumption (in Ws)
:v_exit => drivingCourse[end][:v])) # exit speed (in m/s)))
CS[:t] = CS[:t] + BS[:t] # total running time (in s)
CS[:E] = CS[:E] + BS[:E] # total energy consumption (in Ws)
merge!(CS[:behaviorSections], Dict(:coasting=>BS))
end
# set state flags
stateFlags[:endOfCSReached] = endOfCSReached
stateFlags[:brakingStartReached] = brakingStartReached
stateFlags[:tractionDeficit] = drivingCourse[end][:F_T] < drivingCourse[end][:F_R]
stateFlags[:resistingForceNegative] = drivingCourse[end][:F_R] < 0
stateFlags[:error] = !(endOfCSReached || brakingStartReached || stateFlags[:tractionDeficit] || previousSpeedLimitReached || targetSpeedReached)
return (CS, drivingCourse, stateFlags)
end #function addCoastingSection!
## This function calculates the data points of the braking section.
# Therefore it gets its first data point and the characteristic section and returns the characteristic section including the behavior section for braking if needed.
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function addBrakingSection!(CS::Dict, drivingCourse::Vector{Dict}, stateFlags::Dict, settings::Settings, train::Train, CSs::Vector{Dict})
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# conditions for braking section
targetSpeedReached = drivingCourse[end][:v] <= CS[:v_exit]
endOfCSReached = drivingCourse[end][:s] >= CS[:s_exit] || stateFlags[:endOfCSReached]
# use the conditions for the braking section
if !targetSpeedReached && !endOfCSReached
BS = BehaviorSection("braking", drivingCourse[end][:s], drivingCourse[end][:v], drivingCourse[end][:i])
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drivingCourse[end][:behavior] = BS[:type]
while !targetSpeedReached && !endOfCSReached
currentStepSize = settings.stepSize # initialize the step size that can be reduced near intersections
nextPointOfInterest = getNextPointOfInterest(CS[:pointsOfInterest], drivingCourse[end][:s])
pointOfInterestReached = drivingCourse[end][:s] >= nextPointOfInterest[1]
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for cycle in 1:settings.approxLevel+1 # first cycle with normal step size followed by cycles with reduced step size depending on the level of approximation
while !targetSpeedReached && !endOfCSReached && !pointOfInterestReached
# 03/09 old: while drivingCourse[end][:v] > CS[:v_exit] && !targetSpeedReached && drivingCourse[end][:s] < CS[:s_exit] && drivingCourse[end][:s] < nextPointOfInterest[1]
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# traction effort and resisting forces (in N):
calculateForces!(drivingCourse[end], CSs, CS[:id], BS[:type], train, settings.massModel)
# acceleration (in m/s^2):
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drivingCourse[end][:a] = train.a_braking
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# TODO or: drivingCourse[end][:a] = calcBrakingAcceleration(drivingCourse[end][:v], CS[:v_exit], CS[:s_exit]-drivingCourse[end][:s])
if settings.stepVariable == :distance && ((drivingCourse[end][:v]/drivingCourse[end][:a])^2+2*currentStepSize/drivingCourse[end][:a])<0.0 || (drivingCourse[end][:v]^2+2*currentStepSize*drivingCourse[end][:a])<0.0
# create empty data point and set it for the values of s_exit and v_exit
push!(drivingCourse, DataPoint())
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drivingCourse[end][:i] = drivingCourse[end-1][:i]+1
drivingCourse[end][:behavior] = BS[:type]
push!(BS[:dataPoints], drivingCourse[end][:i])
recalculateLastBrakingPoint!(drivingCourse, CS[:s_exit], CS[:v_exit])
else
# create the next data point
push!(drivingCourse, moveAStep(drivingCourse[end], settings.stepVariable, currentStepSize, CS[:id]))
drivingCourse[end][:behavior] = BS[:type]
push!(BS[:dataPoints], drivingCourse[end][:i])
end
#println(drivingCourse[end][:i],". s=",drivingCourse[end][:s]," s_exit=", CS[:s_exit]," v_exit=", CS[:v_exit]," v=",drivingCourse[end][:v])
# conditions for the next while cycle
pointOfInterestReached = drivingCourse[end][:s] >= nextPointOfInterest[1]
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endOfCSReached = drivingCourse[end][:s] >= CS[:s_exit]
targetSpeedReached = drivingCourse[end][:v] <= CS[:v_exit]
end # while
# check which limit was reached and adjust the currentStepSize for the next cycle
# TODO: is there a better way than rounding like in the following?
if cycle < settings.approxLevel+1
if drivingCourse[end][:v] < CS[:v_exit]
if settings.stepVariable == :velocity
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currentStepSize = drivingCourse[end-1][:v] - CS[:v_exit]
else
currentStepSize = settings.stepSize / 10.0^cycle
end
elseif drivingCourse[end][:s] > nextPointOfInterest[1]
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if settings.stepVariable == :distance
currentStepSize = nextPointOfInterest[1] - drivingCourse[end-1][:s]
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else
currentStepSize = settings.stepSize / 10.0^cycle
end
elseif drivingCourse[end][:v] == CS[:v_exit] && drivingCourse[end][:s] == CS[:s_exit]
break
elseif drivingCourse[end][:v] == CS[:v_exit]
recalculateLastBrakingPoint!(drivingCourse, CS[:s_exit], CS[:v_exit])
endOfCSReached = true
# println(" with a=", drivingCourse[end-1][:a]) # for testing
break
elseif drivingCourse[end][:s] == CS[:s_exit]
# println("during braking section in CS",CS[:id],": rounding v down from ", drivingCourse[end][:v] ," to ", CS[:v_exit]) # for testing
recalculateLastBrakingPoint!(drivingCourse, CS[:s_exit], CS[:v_exit])
targetSpeedReached = true
# println(" with a=", drivingCourse[end-1][:a]) # for testing
break
elseif drivingCourse[end][:s] == nextPointOfInterest[1]
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break
end
# delete last data point for recalculating the last step with reduced step size
pop!(drivingCourse)
pop!(BS[:dataPoints])
# conditions for the next for cycle
pointOfInterestReached = false
endOfCSReached = false
targetSpeedReached = false
else # if the level of approximation is reached
if drivingCourse[end][:v] < 0.0
# TODO: drivingCourse[end][:v] < CS[:v_exit] should be enough
# reset last point with setting v=v_exit
# println("during braking section in CS",CS[:id],": rounding v up from ", drivingCourse[end][:v] ," to ", CS[:v_exit]) # for testing
recalculateLastBrakingPoint!(drivingCourse, CS[:s_exit], 0.0)
endOfCSReached = true
break
elseif drivingCourse[end][:s] > CS[:s_exit]
# println("during braking section in CS",CS[:id],": rounding s down from ", drivingCourse[end][:s] ," to ", CS[:s_exit]) # for testing
# recalculateLastBrakingPoint!(drivingCourse, CS[:s_exit], CS[:v_exit])
drivingCourse[end][:s] = CS[:s_exit]
break
elseif drivingCourse[end][:s] > nextPointOfInterest[1]
drivingCourse[end][:s] = nextPointOfInterest[1] # round s down to nextPointOfInterest
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drivingCourse[end][:Δs] = drivingCourse[end][:s] - drivingCourse[end-1][:s]
break
elseif drivingCourse[end][:v] == CS[:v_exit] && drivingCourse[end][:s] == CS[:s_exit]
break
elseif drivingCourse[end][:v] < CS[:v_exit]
# reset last point with setting v=v_exit
# println("during braking section in CS",CS[:id],": rounding s up from ", drivingCourse[end][:s] ," to ", CS[:s_exit]) # for testing
recalculateLastBrakingPoint!(drivingCourse, CS[:s_exit], CS[:v_exit])
endOfCSReached = true
break
elseif drivingCourse[end][:v] == CS[:v_exit]
# println("during braking section in CS",CS[:id],": rounding s up from ", drivingCourse[end][:s] ," to ", CS[:s_exit]) # for testing
recalculateLastBrakingPoint!(drivingCourse, CS[:s_exit], CS[:v_exit])
endOfCSReached = true
break
elseif drivingCourse[end][:s] == CS[:s_exit]
# println("during braking section in CS",CS[:id],": rounding v down from ", drivingCourse[end][:v] ," to ", CS[:v_exit]) # for testing
recalculateLastBrakingPoint!(drivingCourse, CS[:s_exit], CS[:v_exit])
targetSpeedReached = true
break
else
# do nothing for example for drivingCourse[end][:s]==nextPointOfInterest[1]
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end
end
end #for
end #while
# calculate the accumulated coasting section information
merge!(BS, Dict(:length => drivingCourse[end][:s] - BS[:s_entry], # total length (in m)
:s_exit => drivingCourse[end][:s], # last position (in m)
:t => drivingCourse[end][:t] - drivingCourse[BS[:dataPoints][1]][:t], # total running time (in s)
:E => drivingCourse[end][:E] - drivingCourse[BS[:dataPoints][1]][:E], # total energy consumption (in Ws)
:v_exit => drivingCourse[end][:v])) # exit speed (in m/s)))
CS[:t] = CS[:t] + BS[:t] # total running time (in s)
CS[:E] = CS[:E] + BS[:E] # total energy consumption (in Ws)
merge!(CS[:behaviorSections], Dict(:braking=>BS))
end # else: return the characteristic section without a braking section
# set state flags
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currentSpeedLimit = getCurrentSpeedLimit(CSs, CS[:id], drivingCourse[end][:s], train.length)
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stateFlags[:previousSpeedLimitReached] = currentSpeedLimit[:v] != CS[:v_limit] && drivingCourse[end][:v] >= currentSpeedLimit[:v]
stateFlags[:speedLimitReached] = drivingCourse[end][:v] >= CS[:v_exit]
stateFlags[:endOfCSReached] = endOfCSReached
stateFlags[:error] = !(endOfCSReached)
calculateForces!(drivingCourse[end], CSs, CS[:id], "default", train, settings.massModel)
stateFlags[:resistingForceNegative] = drivingCourse[end][:F_R] < 0
return (CS, drivingCourse, stateFlags)
end #function addBrakingSection!
## This function calculates the data point of the standstill.
# Therefore it gets its first data point and the characteristic section and returns the characteristic section including the standstill if needed.
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function addStandstill!(CS::Dict, drivingCourse::Vector{Dict}, settings::Settings, train::Train, CSs::Vector{Dict})
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if drivingCourse[end][:v] == 0.0
BS = BehaviorSection("standstill", drivingCourse[end][:s], drivingCourse[end][:v], drivingCourse[end][:i])
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merge!(BS, Dict(:length => 0.0, # total length (in m)
:t => 0.0, # total running time (in s)
:E => 0.0, # total energy consumption (in Ws)
:s_exit => drivingCourse[end][:s], # last position (in m)
:v_exit => drivingCourse[end][:v])) # exit speed (in m/s)))
drivingCourse[end][:behavior] = BS[:type]
# traction effort and resisting forces (in N)
calculateForces!(drivingCourse[end], CSs, CS[:id], BS[:type], train, settings.massModel)
merge!(CS[:behaviorSections], Dict(:standstill => BS))
end # else: return the characteristic section without a standstillSection section
return (CS, drivingCourse)
end #function addStandstill!
function mergeBehaviorSection!(BSs::Dict, BS::Dict)
if !haskey(BSs, Symbol(BS[:type]))
merge!(BSs, Dict(Symbol(BS[:type]) => BS))
else
number = "2"
while haskey(BSs, Symbol(BS[:type]*number))
number = string(parse(Int, number)+1)
end
merge!(BSs, Dict(Symbol(BS[:type]*number) => BS))
# println("INFO: The ",number,". ",BS[:type]," section has been created. ! ! ! ! ! ! ! ! !")
end
return BSs
end #function mergeBehaviorSection!
function recalculateLastBrakingPoint!(drivingCourse, s_target, v_target)
currentPoint = drivingCourse[end]
previousPoint = drivingCourse[end-1]
# set s and v
currentPoint[:s] = s_target # position (in m)
currentPoint[:v] = v_target # velocity (in m/s)
currentPoint[:Δs] = currentPoint[:s] - previousPoint[:s] # step size (in m)
currentPoint[:Δv] = currentPoint[:v] - previousPoint[:v] # step size (in m/s)
# calculate other values
previousPoint[:a] = calcBrakingAcceleration(previousPoint[:v], currentPoint[:v], currentPoint[:Δs])
# # TODO: just for testing
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# if previousPoint[:a]<train.a_braking || previousPoint[:a]>=0.0
# println("Warning: a_braking gets to high in CS ",CS[:id], " with a=",previousPoint[:a] ," > ",train.a_braking)
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# end
currentPoint[:Δt] = calc_Δt_with_Δv(currentPoint[:Δv], previousPoint[:a]) # step size (in s)
currentPoint[:t] = previousPoint[:t] + currentPoint[:Δt] # point in time (in s)
currentPoint[:ΔW] = 0.0 # mechanical work in this step (in Ws)
currentPoint[:W] = previousPoint[:W] + currentPoint[:ΔW] # mechanical work (in Ws)
currentPoint[:ΔE] = currentPoint[:ΔW] # energy consumption in this step (in Ws)
currentPoint[:E] = previousPoint[:E] + currentPoint[:ΔE] # energy consumption (in Ws)
end #function recalculateLastBrakingPoint
## define the intersection velocities between the characterisitc sections to secure braking behavior
function secureBrakingBehavior!(movingSection::Dict, a_braking::Real)
# this function limits the entry and exit velocity of the characteristic sections to secure that the train stops at the moving sections end
CSs = movingSection[:characteristicSections]
csId = length(CSs)
followingCSv_entry = 0.0 # the exit velocity of the last characteristic section is 0.0 m/s
while csId >= 1
CS = CSs[csId]
CS[:v_exit] = min(CS[:v_limit], followingCSv_entry)
v_entryMax = calcBrakingStartVelocity(CS[:v_exit], a_braking, CS[:length])
CS[:v_entry] = min(CS[:v_limit], v_entryMax)
CS[:v_peak] = CS[:v_entry]
# reset the characteristic section (CS), delete behavior sections (BS) that were used during the preperation for setting v_entry, v_peak and v_exit
CS[:behaviorSections] = Dict()
CS[:E] = 0.0
CS[:t] = 0.0
followingCSv_entry = CS[:v_entry]
csId = csId - 1
end #while
return movingSection
end #function secureBrakingBehavior!
## define the intersection velocities between the characterisitc sections to secure accelerating behavior
function secureAcceleratingBehavior!(movingSection::Dict, settings::Settings, train::Train)
# this function limits the entry and exit velocity of the characteristic sections in case that the train accelerates in every section and cruises aterwards
CSs = movingSection[:characteristicSections]
CSs[1][:v_entry] = 0.0 # the entry velocity of the first characteristic section is 0.0 m/s
startingPoint = DataPoint()
startingPoint[:i] = 1
previousCSv_exit = CSs[1][:v_entry]
for CS in CSs
CS[:v_entry] = min(CS[:v_entry], previousCSv_exit)
startingPoint[:s] = CS[:s_entry]
startingPoint[:v] = CS[:v_entry]
calculateForces!(startingPoint, CSs, CS[:id], "accelerating", train, settings.massModel) # traction effort and resisting forces (in N)
acceleratingCourse::Vector{Dict} = [startingPoint] # List of data points
if CS[:v_entry] < CS[:v_peak]
# conditions for entering the accelerating phase
stateFlags = Dict(:endOfCSReached => false,
:brakingStartReached => false,
:tractionDeficit => false,
:resistingForceNegative => false,
:previousSpeedLimitReached => false,
:speedLimitReached => false,
:error => false,
:usedForDefiningCharacteristics => true) # because usedForDefiningCharacteristics == true the braking distance will be ignored during securing the accelerating phase
v_peak = CS[:v_entry]
(CS, acceleratingCourse, stateFlags) = addBreakFreeSection!(CS, acceleratingCourse, stateFlags, settings, train, CSs)
while !stateFlags[:speedLimitReached] && !stateFlags[:endOfCSReached]
if !stateFlags[:tractionDeficit]
if !stateFlags[:previousSpeedLimitReached]
(CS, acceleratingCourse, stateFlags) = addAcceleratingSection!(CS, acceleratingCourse, stateFlags, settings, train, CSs) # this function changes the acceleratingCourse
elseif stateFlags[:previousSpeedLimitReached]
(CS, acceleratingCourse, stateFlags) = addClearingSection!(CS, acceleratingCourse, stateFlags, settings, train, CSs) # this function is needed in case the train is not allowed to accelerate because of a previous speed limit
end
else
if settings.massModel == :mass_point || acceleratingCourse[end][:s] > CS[:s_entry] + train.length
break
else
(CS, acceleratingCourse, stateFlags) = addDiminishingSection!(CS, acceleratingCourse, stateFlags, settings, train, CSs) # this function is needed in case the resisitng forces are higher than the maximum possible tractive effort
end
end
v_peak = max(v_peak, acceleratingCourse[end][:v])
end
# CS[:v_peak] = max(CS[:v_entry], acceleratingCourse[end][:v])
CS[:v_peak] = v_peak
CS[:v_exit] = min(CS[:v_exit], CS[:v_peak], acceleratingCourse[end][:v])
else #CS[:v_entry] == CS[:v_peak]
# v_exit stays the same
end #if
previousCSv_exit = CS[:v_exit]
# reset the characteristic section (CS), delete behavior sections (BS) that were used during the preperation for setting v_entry, v_peak and v_exit
CS[:behaviorSections] = Dict()
CS[:E] = 0.0
CS[:t] = 0.0
end #for
return movingSection
end #function secureAcceleratingBehavior!
#=
## define the intersection velocities between the characterisitc sections to secure cruising behavior
function secureCruisingBehavior!(movingSection::Dict, settings::Settings, train::Train)
# limit the exit velocity of the characteristic sections in case that the train cruises in every section at v_peak
CSs = movingSection[:characteristicSections]
startingPoint = DataPoint()
startingPoint[:i] = 1
previousCSv_exit = CSs[1][:v_entry]
for CS in CSs
# conditions for entering the cruising phase
stateFlags = Dict(:endOfCSReached => false,
:brakingStartReached => false,
:tractionDeficit => false,
:resistingForceNegative => false,
:previousSpeedLimitReached => false,
:speedLimitReached => false,
:error => false,
:usedForDefiningCharacteristics => true)
CS[:v_entry] = min(CS[:v_entry], previousCSv_exit)
startingPoint[:s] = CS[:s_entry]
startingPoint[:v] = CS[:v_peak]
cruisingCourse::Vector{Dict} = [startingPoint] # List of data points
while !stateFlags[:endOfCSReached] #&& s_cruising > 0.0
if !stateFlags[:tractionDeficit]
s_cruising = CS[:s_exit] - cruisingCourse[end][:s]
if !stateFlags[:resistingForceNegative]# cruisingCourse[end][:F_R] >= 0
(CS, cruisingCourse, stateFlags) = addCruisingSection!(CS, cruisingCourse, stateFlags, s_cruising, settings, train, CSs, "cruising") # this function changes the cruisingCourse
else
(CS, cruisingCourse, stateFlags) = addCruisingSection!(CS, cruisingCourse, stateFlags, s_cruising, settings, train, CSs, "downhillBraking")
end
else
if settings.massModel == :mass_point || cruisingCourse[end][:s] > CS[:s_entry] + train.length
break
else
(CS, cruisingCourse, stateFlags) = addDiminishingSection!(CS, cruisingCourse, stateFlags, settings, train, CSs) # this function is needed in case the resisitng forces are higher than the maximum possible tractive effort
end
end
end
CS[:v_exit] = min(CS[:v_exit], cruisingCourse[end][:v])
previousCSv_exit = CS[:v_exit]
# reset the characteristic section (CS), delete behavior sections (BS) that were used during the preperation for setting v_entry, v_peak and v_exit
CS[:behaviorSections] = Dict()
CS[:E] = 0.0
CS[:t] = 0.0
end #for
return movingSection
end #function secureCruisingBehavior!
=#